As noted by [1]}, [2]}, adding a new task related to the IoU prediction could help the network to train better.
Our model learns to predict the bounding box quality, using this value to further filter pseudo-labels in conjunction with the classification score.
Differently from them, we train the model to make a binary classification instead of a regression since it is sufficient (and easier to learn) for the purpose of filtering.
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